John Poku,
Maxwell Barima Asare,
Wireko Ricky
Pages: 78-86 Published Online: May 16, 2017
Tariq Shah,
Nazia Zaffar,
Kalsoom,
Abrar Ahmad,
Arshad Jalal
Pages: 55-59 Published Online: Apr. 19, 2017
Rovshan Aliyev
Pages: 40-45 Published Online: Apr. 14, 2017
Shahid Qadir Dar,
Amir Ahmad Dar
Pages: 24-30 Published Online: Apr. 13, 2017
Ishaq Olawoyin Olatunji,
Akeem Ajibola Adepoju,
Abdulmuahymin Abiola Sanusi,
Audu Ahmed
Pages: 19-23 Published Online: Apr. 7, 2017
International Journal of Statistics and Actuarial Science (IJSAS) aims at bringing into the light the domain of statistics and actuarial science which include date collection, types of date, terminology and theory of inferential statistics, history of statistics science, maching learning and date mining, pre-formalization, etc. Original articles across the whole scope and up-to-date review papers and case studies are welcomed to publish in this journal. The topics related to this journal include but are not limited to:
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Experimental and Observational Studies
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Terminology and Theory of Inferential Statistics
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Statistics, Estimators and Pivotal Quantities
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Null Hypothesis and Alternative Hypothesis
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Misinterpretation: Correlation
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History of Statistical Science
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Machine Learning and Data Mining
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Statistics Applied to Mathematics or the Arts
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Actuarial Science Related to Modern Financial Economics
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Actuaries in Criminal Justice
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High-Dimensional Data Analysis
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Order Restricted Inference
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Statistical Analysis of Genomic Data